High latitude drone ecology at December 2017 conferences

Members of the High Latitude Drone Ecology Network and other drone researchers working in Arctic ecosystems are meeting at the Arctic Change 2017 and American Geophysical Union Meeting conferences this week. We will hold a side meeting at Arctic Change for all interested participants in Québec City.  Here are some of the assembled abstracts being presented at the two meetings relevant to high latitude drone ecology.

At Arctic Change 2017 in Québec City:

Meso-scale Arctic ecology: Leveraging the High Latitude Drone Ecology Network (HiLDEN) to address longstanding knowledge gaps – Kerby et al.

Drone imagery reveals scale mismatch between satellite-observed tundra greenness and on-the-ground vegetation monitoring – Assmann et al.

Monitoring Arctic changes with drones – Cunliffe et al.

Quantifying the drivers of rapid tundra vegetation change – increased productivity and permafrost thaw (using drones) – Myers-Smith et al.

Permafrost dynamics and infrastructure impacts revealed by Unmanned Aircraft System-derived terrain information – van der Sluijs et al.

Opportunities and challenges for Unmanned Aerial Vehicles (UAVs) in the Arctic – Hann

The extreme erosion of Pelly Island, Northwest Territories: Using UAVs and modelling techniques to evaluate the fate of sediments – Malenfant et al.

Combining UAS data, Very High Resolution satellite imagery and field measurements to interpret landslide stabilization processes on the Yamal Peninsula – Kumpula et al.

Assessing an unmanned aircraft vehicle as a tool for researching Sub-Arctic ecosystems – Barnas et al.

High resolution monitoring of cryospheric change with unmanned aerial systems – Moorman et al.


At the American Geophysical Union Meeting in New Orleans:

B21F-2022: Calibration and Validation of Tundra Plant Functional Type Fractional Cover Mapping -Macander et al.

B21F-2016: Evaluating rapid ground sampling and scaling estimated plant cover using UAV imagery up to Landsat for mapping arctic vegetation – Nelson et al.

B43G-2218: Four years of UAS Imagery Reveals Vegetation Change Due to Permafrost Thaw – DelGreco et al.

B51A-1773 UAV based mapping of variation in grassland yield for forage production in Arctic environments – Davids et al.

C21A-1110: Quantifying the Interactions Between Soil Thermal Characteristics, Soil Physical Properties, Hydro-geomorphological Conditions and Vegetation Distribution in an Arctic Watershed – Leger et al.

B31I-06 Characterizing sub-arctic peatland vegeation using height estimates from structure from motion and an unmanned aerial system (UAS) – Palace et al.

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